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Biomedical Data Scientist Jobs in Kansas (NOW HIRING)

WellSky

Data Scientist

Overland Park, KS · On-site

... clinical or biomedical text. * Familiarity with Life Sciences or Real-World Data / Real-World ... Evidence (RWD/RWE) use cases. * Experience designing evaluation methodologies for AI/ML or LLM ...

WellSky

Data Scientist

Overland Park, KS

$2.5K/yr

... clinical or biomedical text. * Familiarity with Life Sciences or Real-World Data / Real-World ... Evidence (RWD/RWE) use cases. * Experience designing evaluation methodologies for AI/ML or LLM ...

Benedictine College

Chair of Biomedical Sciences

Atchison, KS · On-site

$23.50 - $31.25/hr

The Chair of Biomedical Sciences works with faculty and SOM leaders to create and implement ... Provide evaluation data and recommendations to the Associate Dean of Preclinical Curriculum and ...

Benedictine College

Chair of Biomedical Sciences

Atchison, KS · On-site

$23.50 - $31.25/hr

The Chair of Biomedical Sciences works with faculty and SOM leaders to create and implement ... Provide evaluation data and recommendations to the Associate Dean of Preclinical Curriculum and ...

Benedictine College

Chair of Biomedical Sciences

Atchison, KS · On-site

$23.50 - $31.25/hr

The Chair of Biomedical Sciences works with faculty and SOM leaders to create and implement ... Provide evaluation data and recommendations to the Associate Dean of Preclinical Curriculum and ...

KHSC

Faculty in Biomedical Sciences

Wichita, KS · On-site

$22.50 - $30/hr

... data collection and management, education of faculty as assigned. * Foster a positive culture ... A track record of academic experience in biomedical sciences education (medical school experience ...

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Biomedical Data Scientist information

See Kansas salary details

$33.4K

$109.5K

$175.2K

How much do biomedical data scientist jobs pay per year?

As of Aug 10, 2026, the average yearly pay for biomedical data scientist in Kansas is $109,464.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,800.00 and $121,300.00 per year, depending on experience, location, and employer.

What does a biomedical data scientist do?

The job of a biomedical data scientist is to research and analyze biological data for use in medicine. As a biomedical data scientist, you perform analysis using industry-standard methodologies. Your responsibilities are to record information in a database. Other duties include using this data to produce a new product or peer-reviewed paper. As a biomedical data scientist, you may also develop new research methods or tools. It is your job to create coherent reports based on your research and analysis of raw data. This type of research is used to help develop advances in medicine.

What are some typical challenges faced by biomedical data scientists when working with healthcare data?

Biomedical Data Scientists often encounter challenges related to the complexity and variability of healthcare data, such as dealing with missing values, inconsistent formats, and integrating data from multiple sources like electronic health records, genomics, and imaging. Ensuring data privacy and compliance with regulations like HIPAA is also a critical consideration. Collaborating closely with clinicians and researchers to translate data findings into actionable insights can require strong communication skills and a good understanding of medical terminology. Overcoming these challenges is key to developing robust, impactful models that support healthcare advancements.

What are the key skills and qualifications needed to thrive as a biomedical data scientist, and why are they important?

To thrive as a Biomedical Data Scientist, you need a strong background in statistics, biology, and computer science, often supported by an advanced degree in a related field. Proficiency with programming languages like Python or R, data analysis platforms, and experience using bioinformatics tools and machine learning frameworks are typically required. Exceptional problem-solving, collaboration, and communication skills help translate complex data into actionable biomedical insights. These skills ensure accurate analysis and interpretation of biomedical data, driving impactful research and innovation in healthcare.

What is a biomedical data scientist?

Biomedical data scientists are professionals who apply data science techniques to biomedical research and healthcare. They analyze large sets of biological and medical data to uncover patterns, make predictions, and support scientific discoveries or medical decisions. Their work involves using computational tools, statistical methods, and machine learning to interpret complex datasets, such as genomics, clinical trials, or electronic health records. Biomedical data scientists often collaborate with biologists, clinicians, and other researchers to improve healthcare outcomes and advance medical knowledge.
More about Biomedical Data Scientist jobs
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Infographic showing various Biomedical Data Scientist job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $109,464 per year, or $52.6 per hour.

Data Scientist

WellSky

Overland Park, KS • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago

WellSky rating

7.3

Company rating: 7.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

178th of 242 rated software companies

Job description

The Data Scientist is responsible for turning unstructured healthcare data into standardized, analysis-ready assets that power Life Sciences and RWE use cases. Working within the internal data platform team, this role designs and evaluates AI and agent-based methods to extract clinical meaning from free-text sources (for example, deriving patient clinical statuses from notes and mapping free-text diagnoses to standardized code sets such as ICD-10), rigorously measures the quality of those outputs, and builds agentic tooling that lets users query data and generate dashboards through natural language. The role blends applied data science, large language model (LLM) evaluation, and platform engineering to make high-value insights accessible and trustworthy at scale.
Key Responsibilities:
  • Design and build methods to standardize unstructured healthcare data, including extracting clinical statuses and other structured attributes from free-text clinical notes and mapping free-text diagnoses to standardized terminologies such as ICD-10.
  • Develop, prompt, and orchestrate LLM- and agent-based pipelines to perform extraction, normalization, and enrichment tasks against diverse and messy source documents.
  • Define and implement rigorous evaluation frameworks to measure agent and model performance on these tasks, including gold-standard datasets, accuracy and error-mode analysis, and ongoing monitoring of output quality.
  • Build and maintain an agentic harness that enables users to query data and generate dashboards through natural language (an internal analog to agentic analysis tools such as Claude Cowork for our data).
  • Partner with data platform, engineering, and Life Sciences stakeholders to translate business use cases into technical requirements and analysis-ready data products.
  • Continuously monitor and improve the accuracy, quality, and efficiency of data extraction, standardization, and downstream analytics.
  • Contribute to responsible AI practices, including appropriate handling and de-identification of sensitive healthcare data.
  • Perform other job duties as assigned.

Required Qualifications:
  • Bachelor's degree in a related field or equivalent work experience
  • 2 - 4 years related work experience

Preferred Qualifications:
  • Healthcare industry experience, especially with Healthcare data in post-acute care.
  • Experience applying large language models and/or agentic frameworks to real-world data extraction or transformation tasks.
  • Experience with clinical terminologies and coding systems (e.g., ICD-10, SNOMED CT, LOINC) and with natural language processing on clinical or biomedical text.
  • Familiarity with Life Sciences or Real-World Data / Real-World Evidence (RWD/RWE) use cases.
  • Experience designing evaluation methodologies for AI/ML or LLM systems (accuracy metrics, annotation, error analysis).
  • Proficiency in Python and SQL, and experience working within a modern data platform or cloud environment.
  • Experience building data applications and pipelines.

Job Expectations:
  • Willing to work additional or irregular hours as needed
  • Must work in accordance with applicable security policies and procedures to safeguard company and client information
  • Must be able to sit and view a computer screen for extended periods of time

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WellSky is where independent thinking and collaboration come together to create an authentic culture. We thrive on innovation, inclusiveness, and cohesive perspectives. At WellSky you can make a difference.
WellSky provides equal employment opportunities to all people without regard to race, color, national origin, ancestry, citizenship, age, religion, gender, sex, sexual orientation, gender identity, gender expression, marital status, pregnancy, physical or mental disability, protected medical condition, genetic information, military service, veteran status, or any other status or characteristic protected by law. WellSky is proud to be a drug-free workplace.
Applicants for U.S.-based positions with WellSky must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Certain client-facing positions may be required to comply with applicable requirements, such as immunizations and occupational health mandates.
Here are some of the exciting benefits full-time teammates are eligible to receive at WellSky:
  • Excellent medical with Rx, dental, and vision benefits
  • Mental Health support through EAP
  • Generous paid time off, plus 13 paid holidays
  • 100% vested 401(K) retirement plans
  • Educational assistance up to $2500 per year

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